Artificial rhythms and cues for keystroke dynamics based authentication

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3832 LNCS, Issue , 2006, Pages 626-632

  Cho, Sungzoon ^a   Hwang, Seongseob ^a  

^a Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; IMAGE QUALITY; SECURITY OF DATA; USER INTERFACES;

ARTIFICIAL RHYTHMS; BIOMETRICS; FINGER PRINTS; IRIS; KEYSTROKE DYNAMICS; USER AUTHENTICATION; USER'S PATTERNS;

PATTERN RECOGNITION;

EID: 33744950220     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (7)

1. Gaines, R., Lisowski, W., Press, S., Shapiro, N.: Authentication by keystroke timing: some preliminary results. Rand Report R-256-NSF. Rand Corporation (1980)
2. Leggett, J., Williams, G., Usnick, M., Longnecker, M.: Dynamic identity verification via keystroke characteristics. Int. J. Man-Machine Studies. 35 (1991) 859-870
3. Brown, M., Rogers, S.J.: User identification via keystroke characteristics of typed names using neural networks. Int. J. Man-Machine Studies. 39 (1993) 999-1014
4. Obaidat, M., Sadoun, S.: Verification of computer users using keystroke dynamics. IEEE Transactions on Systems, Man and Cybernetics, Part B:P Cybernetics. 27(2) (1997) 261-269
5. Cho, S., Han, C., Han, D., Kim, H.: Web-based keystroke dynamics identity verification using neural network. J. Organizational computing and electronic commerce. 10(4) (2000) 295-307
6. Cho, S., Han, D: Apparatus for Authenticating an Individual Based on a Typing Pattern by Using a Neural Network System, Patent No. 6,151,593, Nov. 21, 2000, US Patent and Trademark Office, Washington DC 20231, 2000. (2000)
7. Yu, E., Cho, S.: Keystroke dynamics identity verification - its problems and practical solutions. Computers and Security. 23(5) (2004) 428-440